Retrieval, reuse, revision and retention in case-based reasoning

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Show simple item record De, Mantaras, R.L. en Mcsherry, D. en Bridge, D. en Leake, D. en Smyth, B. en Craw, S. en Faltings, B. en Maher, M.L. en Cox, M.T. en Forbus, K. en Keane, M. en Aamodt, A. en Watsoni, I. en 2009-09-07T01:21:15Z en 2009-09-07T01:21:15Z en 2005 en
dc.identifier.citation Knowledge Engineering Review 20 (3), 215-240. 2005 en
dc.identifier.issn 0269-8889 en
dc.identifier.other eid=2-s2.0-33646537794 en
dc.identifier.uri en
dc.description.abstract Case-based reasoning (CBR) is an approach to problem solving that emphasizes the role of prior experience during future problem solving (i.e., new problems are solved by reusing and if necessary adapting the solutions to similar problems that were solved in the past). It has enjoyed considerable success in a wide variety of problem solving tasks and domains. Following a brief overview of the traditional problem-solving cycle in CBR, we examine the cognitive science foundations of CBR and its relationship to analogical reasoning. We then review a representative selection of CBR research in the past few decades on aspects of retrieval, reuse, revision and retention. en
dc.publisher Cambridge University Press en
dc.relation.ispartofseries Knowledge Engineering Review en
dc.rights Items in ResearchSpace are protected by copyright, with all rights reserved, unless otherwise indicated. Previously published items are made available in accordance with the copyright policy of the publisher. Details obtained from en
dc.rights.uri en
dc.source.uri en
dc.title Retrieval, reuse, revision and retention in case-based reasoning en
dc.type Journal Article en
dc.identifier.doi 10.1017/S0269888906000646 en
pubs.issue 3 en
pubs.begin-page 215 en
pubs.volume 20 en
dc.rights.holder Copyright: Cambridge University Press. en
pubs.end-page 240 en
dc.rights.accessrights en

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